Hear how global logistics giant TNT undertook the challenge of renewing its business insight capabilities and designed an effectiveand unique methodology that tangibly equates data to top line revenues and bottom line profitability.

Audience Interactive: Has your Company Developed a Code of Conduct for the Ethical use of Data & AI?

Speaking:

This session will consider theproposed Model AI Governance Framework (Model Framework) - an accountability-based framework developed to help chart the language and frame the discussions around...

Keynote Presentation: Outlining the Draft Framework on how Artificial Intelligence (AI) can be Ethically and Responsibly Used

July 23 | 12:10 - 12:35

This session will consider theproposed Model AI Governance Framework (Model Framework) - an accountability-based framework developed to help chart the language and frame the discussions around harnessing AI in a responsible way. As AI gains even more momentum the urgency to develop sound approaches to data management and the governance of AI and other frontier technologies is more important than ever before.

Given the government’s recent release of the model governance framework for AI, getting your AI ethics strategy right is all the more critical. This session will explore the components of data management that are essential for accelerated artificial intelligence and machine learning.

This session will explore how universities and industry can partner on teaching and research to bridge the talent gap and tackle the biggest data challenges.

Recruitment: Where does industry find data talent? How is that changing? What skills – hard and soft – are in greatest demand?

Development: Where are the biggest skill gaps – in existing staff and in new recruits? How can large and small enterprises develop data skills? How do you assess gaps in your own skills and in your company?

Retention: So now that you’ve hired and developed data experts, how can you keep them? What is industry doing to retain top staff? What do graduates want?

Bridging the gap: How are industry and university working together on teaching and research? What else needs to be done?

Keynote Panel Discussion: The Art of Building High Performing Data Analytics Teams

July 24 | 13:40 - 14:05

Recruiting the best fit for your organisation, whilst keeping diversity in mind.· How to structure a team for success – what is the key mix of attributes and characteristics you need for a first-class analytics team?

Nurturing: how to challenge your team intellectually, fostering growth, trust and confidence.· Growing talent: what are the best training programs

Examining the value of mentoring and developing others in their career path.